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Table of contents (7 chapters)
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Motivation and Fundamentals
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An Agent-Based Simulation Model for Interrelated Electricity Markets
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Application, Evaluation and Discussion
Keywords
About this book
Due to the characteristics of electricity, power markets rank among the most complex markets operated at present. The requirements of an environmentally sustainable, economically efficient, and secure energy supply have resulted in the emergence of several interrelated markets that have to be carefully engineered in order to ensure efficient market outcomes.
This book presents an agent-based simulation model that facilitates electricity market research. Simulation outcomes from this model are validated against price data from German power markets. The results significantly contribute to existing research in agent-based simulation and electricity market modeling, and provide insights into the impact of the market structure and market design on electricity prices.
The book addresses researchers, lecturers and students who are interested in applying agent-based simulation to power markets. It provides a thorough discussion of the methodology and helpful details for model implementation.
Authors and Affiliations
Bibliographic Information
Book Title: Engineering Interrelated Electricity Markets
Book Subtitle: An Agent-Based Computational Approach
Authors: Anke Weidlich
Series Title: Contributions to Management Science
DOI: https://doi.org/10.1007/978-3-7908-2068-3
Publisher: Physica Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Physica-Verlag Heidelberg 2008
Hardcover ISBN: 978-3-7908-2067-6Published: 02 October 2008
Softcover ISBN: 978-3-7908-2562-6Published: 21 October 2010
eBook ISBN: 978-3-7908-2068-3Published: 08 October 2008
Series ISSN: 1431-1941
Series E-ISSN: 2197-716X
Edition Number: 1
Number of Pages: XXII, 174
Number of Illustrations: 68 b/w illustrations
Topics: Energy Systems, Energy Policy, Economics and Management, Operations Research/Decision Theory, Innovation/Technology Management, Energy Policy, Economics and Management